AI Architect

Vector Security and Vector Security Networks Career•Warrendale, PA

7d•Hybrid

About The Position

At Vector Security We Think Big, Do the Right Thing, and Make a Difference Every Day! If this is how you like to work, we’d like to invite you to join our team as an AI Architect! We offer great benefits, a competitive salary, and growth opportunities. We think you’ll find what you want here because what we do matters - to us, our customers, and most of all, our team members. Location - Greater Pittsburgh Area - Warrendale, PA (Hybrid work schedule) Summary: As an AI Architect, you will l ead the design, integration, and delivery of Agentic AI and Generative AI-driven solutions within a Microsoft 365 ecosystem; partner with business and technical teams to translate requirements into scalable AI-enabled systems and low-code applications; design, deliver, and maintain innovative, secure technology solutions that leverage Agentic AI capabilities, Generative AI models, Microsoft Copilot, and non-Microsoft third-party AI solutions—including video, voice, digital marketing, and other niche domains—to solve real business problems.

Requirements

Bachelor’s Degree or equivalent combination of education and experience supporting analytical and technical thinking.
Five (5) or more years of IT/software development experience.
Demonstrated innovation & change leadership experience to guide teams through new technologies, AI adoption, and process transformation initiatives.
Demonstrated communication & presentation skills that can translated complex technical concepts to executives, stakeholders and non-technical teams.
Strong working knowledge of Microsoft Power Platform, Microsoft 365 ecosystem, Microsoft Copilot, Copilot Agent and at least 3+ years of Azure Cloud Services.
AI solution architect expertise, generative AI tool experience, and familiarity with Agentic AI frameworks.
Enterprise system integration experience and understanding of connectors, APIs, and governance.
Business Analysis experience.
Data modeling and Agile methodology knowledge.

Responsibilities

Architectural Leadership: Define and communicate a unified architectural vision for AI, Agentic AI, and automation solutions that aligns with enterprise strategy, governance standards, and long â term technology goals.
Lead the development of the enterprise AI/GenAI strategy and technical architecture, including Agentic AI orchestration patterns and integration frameworks.
Partner with Enterprise and Solution Architects to embed Generative AI capabilities—such as Microsoft Copilot and third â party AI platforms—into existing systems and workflows.
Continuously monitor industry trends and emerging technologies, conducting R&D to assess new models, Agentic AI frameworks, and third â party solutions that support business needs.
Collaborate with IT teams, consultants, and domain experts to ensure AI outputs are effectively integrated into business processes.
Oversee deployment of AI applications into production environments with a focus on performance, reliability, and continuous optimization.
Drive feasibility assessments, proofs â of â concept, and the successful scaling of AI solutions across the enterprise.
Business Analysis & Stakeholder Engagement: Partner with cross-functional teams to understand business challenges and co-create AI-driven and agentic solutions.
Translate business needs into technical requirements and actionable solution designs.
AI Deployment, Integration, and Support: Lead evaluation, design, and deployment of AI-enabled solutions, including Microsoft Copilot, Power Platform components, and third-party AI tools.
Ensure seamless integration with enterprise systems, APIs, and data sources.
Technical Oversight: Provide guidance on cloud architecture and governance best practices.
Maintain compliance with data governance, security policies, and platform standards.
Transition solutions and knowledge to support and development resources.